CN102156820A - Method for analyzing harmfulness of mechanical assembly process - Google Patents
Method for analyzing harmfulness of mechanical assembly process Download PDFInfo
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Abstract
The invention provides a method for analyzing harmfulness of a mechanical assembly process, comprising the following five steps of: step I, determining the grade of severity of a process failure model; step II, determining the grade of occurrence probability of a process failure model; step III, determining the grade of tested difficulty of a process failure mode; step Iv, calculating the risk priority number of process failure mode; and step V, determining the failure mode of a critical process. The method for analyzing harmfulness of a mechanical assembly process has the advantages that the grade of severity, the grade of occurrence probability and the grade of tested difficulty of a process failure mode are subjected to mathematical analysis and determination by means of a quantification method on the basis of the existing process harmfulness analysis method, the maneuverability is strong, the combination of required parameters and data and the practice is close, the obtaining is convenient, the operation is easy, and the method is suitable for popularizing in the technical field of process reliability engineering.
Description
Technical field
The present invention relates to a kind of HAZAN method of mechanical assembly technology, it is devoted to guarantee the reliable application of product in mechanical assembling process, reduces and uses risk, belongs to the reliability of technology field of engineering technology.
Background technology
HAZAN is meant to be analyzed the probability of each fault mode generation in the product and the combined influence that the extent of injury produced thereof, with the influence of the various fault modes that may occur of thoroughly evaluating product.
In the engineering reality, the HAZAN work of product is mainly carried out according to GJB/Z 1391-2006 " fault mode, influence and HAZAN guide " at present.But the content about the HAZAN of process aspect in this standard is not a lot, and operability is not strong.
The HAZAN method that proposes in the standard comprises two kinds: risk priority number (RPN) method and harmfulness matrix method.Wherein, risk priority number method need be estimated severity (S), probability of happening (O), detected difficulty (D) Three Estate of each fault mode, and the three is multiplied each other and obtained corresponding RPN value, and the higher fault mode of RPN value is defined as the critical failure pattern; Harmfulness matrix rule is to utilize calculation of parameter such as crash rate, working time to go out the density of infection of each fault mode, determines the critical failure pattern by the method for mapping.What relatively use always in these two kinds of methods is risk priority number method, but the factor of this method subjectivity in the process of analyzing is more, and the definite foundation about grade in the standard is clear and definite inadequately, for mechanical assembly technology and inapplicable.
Summary of the invention
1, purpose; The purpose of this invention is to provide a kind of HAZAN method of mechanical assembly technology, this method is workable, can improve the reliability of product machinery assembly technology.
2, technical scheme of the present invention:
The HAZAN method of a kind of mechanical assembly technology of the present invention, these method concrete steps are as follows:
Step 1: the severity grade of determining the technology trouble pattern: according to determining fault mode expenses and the loss of time its severity grade.
Step 2: the probability of happening grade of determining the technology trouble pattern:, determine its probability of happening grade according to the fail data statistics of fault mode in similar assembling process.
Step 3: the detected grade of difficulty of determining the technology trouble pattern: the complexity according to the detection failure pattern is determined its detected grade of difficulty.
Step 4: the risk priority number that calculates the technology trouble pattern:, calculate its corresponding risk priority number according to step 1,2 and 3 severity, probability of happening and the detected grade of difficulty of determining.
Step 5: determine the critical process fault mode: the risk priority number that calculates according to step 4, after determining risk priority number threshold value by the mode of expert group's evaluation, the technology trouble pattern that the risk priority number is higher than threshold value is decided to be the critical process fault mode, pays close attention in follow-up work.
Wherein, in the division of the technology trouble pattern severity grade described in the step 1, the method for taking a kind of expenses and the loss of time to take all factors into consideration determines that its detailed process is as follows:
1) after the technology trouble pattern generation that analysis has been determined, the expenses that can cause, its computing formula is as follows:
W(C
j)=W
1(C
j)+W
2(C
j)
In the formula, W (C
j) the total expenses loss that causes for certain technology trouble pattern of product; W
1(C
j) economic loss that this technology trouble pattern of serving as reasons directly causes, comprise the loss of damage of product, material consumption, tool wear, labour cost etc.; W
2(C
j) expense for product or process equipment are detected and keep in repair.
2) after the technology trouble pattern generation that analysis has been determined, the loss of time that can cause, its computing formula is as follows:
T(C
j)=T
1(C
j)+T
2(C
j)+T
3(C
j)
In the formula, T (C
j) the T.T. loss that causes for certain technology trouble pattern of product; T
1(C
j) loss of time of directly causing for this technology trouble pattern, comprise the working time of replacing and repairing trouble location etc.; T
2(C
j) for after this technology trouble pattern takes place, need repeat the time of this technological process; T
3(C
j) the other times loss that may cause for this technology trouble pattern.
3) according to the expenses and the loss of time of each technology trouble pattern, associative list 1 is determined the severity grade (when both corresponding grades are inconsistent, choosing higher severity grade) of technology trouble pattern.
Table 1 technology trouble pattern severity grade scoring criterion table
Influence degree | Influence the explanation of seriousness consequence | The severity grade |
Disaster | Postponement work causes and can't finish; Expenses accounts for more than 80% of product total value | 10 |
Fatal | Postponement work accounts for more than 80% of schedule requirement; Expenses accounts for the 60%-80% of product total value | 9 |
Extremely heavy | Postponement work accounts for the 60%-80% of schedule requirement; Expenses accounts for the 40%-60% of product total value | 8 |
Serious | Postponement work accounts for the 40%-60% of schedule requirement; Expenses accounts for the 20%-40% of product total value | 7 |
Moderate | Postponement work accounts for the 30%-40% of schedule requirement; Expenses accounts for the 10%-20% of product total value | 6 |
Slight | Postponement work accounts for the 20%-30% of schedule requirement; Expenses accounts for the 5%-10% of product total value | 5 |
Lighter | Postponement work accounts for the 10%-20% of schedule requirement; Expenses accounts for the 3%-5% of product total value | 4 |
Slight | Postponement work accounts for the 5%-10% of schedule requirement; Expenses accounts for the 1%-3% of product total value | 3 |
Small | Postponement work accounts for below 5% of schedule requirement; Expenses accounts for below 1% of product total value | 2 |
Insignificant | Influence can be ignored to job schedule; Expenses can be ignored | 1 |
Wherein, calculate in the method that the technology trouble pattern probability of happening grade described in the step 2 takes operation fault probability of happening to add up, it can be applied in the mechanical assembly technology HAZAN of short run, and its method is as follows:
1) the dependent failure data of the mechanical assembling process of other products is before collected, add up the fault mode and the corresponding probability of happening of basic working procedure that mechanical assembly technology comprises.
2) will regard reliability series connection model as by each mechanical assembly technology that these basic working procedure are formed, the product of the corresponding failure probability of happening of basic working procedure is exactly needed technology trouble pattern probability of happening level.Its formula is as follows.
In the formula, O (C
j) be the probability of happening of certain technology trouble pattern; O (C
i) probability of happening of the basic working procedure corresponding failure that comprised for this technology trouble pattern; N is the basic working procedure number that this technology comprised.
Wherein, as shown in the table in the detected grade of difficulty scoring of the technology trouble pattern described in the step 3 criterion.
The detected grade of difficulty scoring of table 2 technology trouble pattern criterion table
Wherein, in the calculating of the risk priority number described in the step 4,1,2,3 severity grade, probability of happening grade, the detected grade of difficulty that obtain of taking steps multiply each other and obtain, and formula is as follows:
RPN(C
j)=S(C
j)×O(C
j)×D(C
j)
In the formula, RPN (C
j) be certain technology trouble pattern risk priority number; S (C
j) be this technology trouble pattern severity grade; O (C
j) be this technology trouble pattern probability of happening grade; D (C
j) be the detected grade of difficulty of this technology trouble pattern.
Wherein, be to determine that by the mode of expert group's evaluation expert group is generally by relevant speciality compositions of personnel such as technologist, fail-safe analyses teacher in the risk priority number threshold value described in the step 5.
3, the invention provides a kind of HAZAN method based on mechanical assembly technology own characteristic and application requirements, its advantage mainly contains:
1) on the basis of existing technology HAZAN method, filled up the blank of mechanical assembly technology aspect HAZAN method, more targeted;
2) realize the part quantification: this method is used the comparatively means of quantification, and the severity grade and the probability of happening grade of technology trouble pattern are determined;
3) workable: this method parameters needed and data combine closelyr with actual, obtain conveniently, and operation is more prone to, and is beneficial to popularization.
Description of drawings
Fig. 1 is a FB(flow block) of the present invention
Embodiment
Below in conjunction with concrete case study on implementation, the HAZAN method based on mechanical assembly technology own characteristic and application requirements of the present invention is elaborated.
Case: be applied to hydraulic pressure and play perpendicular device
It is example that the present invention plays perpendicular device with hydraulic pressure, and the HAZAN method based on mechanical assembly technology own characteristic and application requirements is described.
At first, need clear and definite hydraulic pressure to play perpendicular device for mechanical assembly technology and comprise: parts clean, and are threaded with miscellaneous part, proofread and correct, adjust and join work, assembling balance, examination etc.
The main technique fault mode that the hydraulic pressure of determining in the previous work rises in the perpendicular device for mechanical assembling comprises: clean unclean, residual foreign material; It is insecure to be threaded; Tension is threaded; Proofread and correct excessive; Undercorrection; The assembling balance is not enough.Concrete mechanical assembly technology HAZAN method implementation step is as follows:
Step 1: the severity grade of determining the technology trouble pattern: according to determining technology trouble pattern expenses and the loss of time its severity grade.Product total value in this example is 500,000 yuan, and work scheduling is 30 days.According to the field statistics data, the concrete expenses of each technology trouble pattern, the loss of time are shown in Table 3, and then the severity grade that associative list 1 is determined is shown in Table 5.
Table 3 hydraulic pressure plays the perpendicular device technique fault mode expenses and the loss of time
Step 2: the probability of happening grade of determining the technology trouble pattern:, determine its probability of happening according to the fail data statistics of technology trouble pattern in similar assembling process.In this example, according to operation fault mode statistics in the past, the probability of happening of each operation and technology trouble pattern is shown in Table 4.
Table 4 hydraulic pressure plays perpendicular device technique fault mode probability of happening
Step 3: the detected grade of difficulty of determining the technology trouble pattern: according to the complexity that detects technology trouble pattern in this example, associative list 2 contents are determined specifically to be shown in Table 5 the detected grade of difficulty of each technology trouble pattern.
Step 4: the risk priority number that calculates the technology trouble pattern: according to step 1,2 and 3 severity, probability of happening and the detected grade of difficulty of determining, calculate the risk priority number of all technology trouble patterns in this example, specifically be shown in Table 5.
Step 5: determine the critical process fault mode: on each technology trouble pattern risk priority number basis that step 4 calculates,, determine that risk priority number threshold value is 5 by the mode of reliability expert and concrete technology expert discussion evaluation.So the risk priority number is higher than the technology trouble pattern of threshold value to be had only " the assembling balance is not enough ", and it is decided to be the critical process fault mode, pays close attention in follow-up work.
Table 5 hydraulic pressure plays perpendicular device for mechanical assembly technology HAZAN table
Claims (6)
1. the HAZAN method of a mechanical assembly technology, it is characterized in that: these method concrete steps are as follows:
Step 1: the severity grade of determining the technology trouble pattern: according to determining fault mode expenses and the loss of time its severity grade;
Step 2: the probability of happening grade of determining the technology trouble pattern:, determine its probability of happening grade according to the fail data statistics of fault mode in similar assembling process;
Step 3: the detected grade of difficulty of determining the technology trouble pattern: the complexity according to the detection failure pattern is determined its detected grade of difficulty;
Step 4: the risk priority number that calculates the technology trouble pattern:, calculate its corresponding risk priority number according to step 1,2 and 3 severity, probability of happening and the detected grade of difficulty of determining;
Step 5: determine the critical process fault mode: the risk priority number that calculates according to step 4, after determining risk priority number threshold value by the mode of expert group's evaluation, the technology trouble pattern that the risk priority number is higher than threshold value is decided to be the critical process fault mode, pays close attention in follow-up work.
2. the HAZAN method of a kind of mechanical assembly technology according to claim 1, it is characterized in that: in the technology trouble pattern severity grade described in the step 1, the method of taking a kind of expenses and the loss of time to take all factors into consideration determines that its detailed process is as follows:
1) after the technology trouble pattern generation that analysis has been determined, the expenses that can cause, its computing formula is as follows:
W(C
j)=W
1(C
j)+W
2(C
j)
In the formula, W (C
j) the total expenses loss that causes for certain technology trouble pattern of product; W
1(C
j) economic loss that this technology trouble pattern of serving as reasons directly causes, comprise the loss of damage of product, material consumption, tool wear, labour cost etc.; W
2(C
j) expense for product or process equipment are detected and keep in repair;
2) after the technology trouble pattern generation that analysis has been determined, the loss of time that can cause, its computing formula is as follows:
T(C
j)=T
1(C
j)+T
2(C
j)+T
3(C
j)
In the formula, T (C
j) the T.T. loss that causes for certain technology trouble pattern of product; T
1(C
j) loss of time of directly causing for this technology trouble pattern, comprise the working time of replacing and repairing trouble location etc.; T
2(C
j) for after this technology trouble pattern takes place, need repeat the time of this technological process; T
3(C
j) the other times loss that may cause for this technology trouble pattern;
3) according to the expenses and loss of time of each technology trouble pattern, determine the severity grade of technology trouble pattern in conjunction with following table, when both corresponding grades are inconsistent, choose higher severity grade;
Technology trouble pattern severity grade scoring criterion table
3. the HAZAN method of a kind of mechanical assembly technology according to claim 1, it is characterized in that: calculate in the method that the technology trouble pattern probability of happening grade described in the step 2 takes operation fault probability of happening to add up, it is applied in the mechanical assembly technology HAZAN of short run, and its detailed process is as follows:
1) the dependent failure data of the mechanical assembling process of other products is before collected, add up the fault mode and the corresponding probability of happening of basic working procedure that mechanical assembly technology comprises;
2) will regard reliability series connection model as by each mechanical assembly technology that these basic working procedure are formed, the product of the corresponding failure probability of happening of basic working procedure is exactly needed technology trouble pattern probability of happening level; Its formula is as follows:
In the formula, O (C
j) be the probability of happening of certain technology trouble pattern; O (C
i) probability of happening of the basic working procedure corresponding failure that comprised for this technology trouble pattern; N is the basic working procedure number that this technology comprised.
5. the HAZAN method of a kind of mechanical assembly technology according to claim 1, it is characterized in that: in the calculating of the risk priority number described in the step 4,1,2,3 severity grade, probability of happening grade, the detected grade of difficulty that obtain of taking steps multiply each other and obtain, and formula is as follows:
RPN(C
j)=S(C
j)×O(C
j)×D(C
j)
In the formula, RPN (C
j) be certain technology trouble pattern risk priority number; S (C
j) be this technology trouble pattern severity grade; O (C
j) be this technology trouble pattern probability of happening grade; D (C
j) be the detected grade of difficulty of this technology trouble pattern.
6. the HAZAN method of a kind of mechanical assembly technology according to claim 1, it is characterized in that: in the risk priority number threshold value described in the step 5 is to determine that by the mode of expert group's evaluation expert group is by technologist, fail-safe analysis's teacher relevant speciality composition of personnel.
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CN102622531A (en) * | 2012-04-24 | 2012-08-01 | 北京航空航天大学 | Method for determining risk priority number threshold value during hazard analysis |
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CN1629867A (en) * | 2003-12-19 | 2005-06-22 | 株式会社东芝 | Maintenance support method, and maintenance support apparatus |
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Cited By (14)
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CN102622531A (en) * | 2012-04-24 | 2012-08-01 | 北京航空航天大学 | Method for determining risk priority number threshold value during hazard analysis |
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CN104750967A (en) * | 2013-12-31 | 2015-07-01 | 中国航天科工集团第三研究院第八三五七研究所 | Reliability analysis method of machining process technology |
CN104750968B (en) * | 2013-12-31 | 2018-01-05 | 中国航天科工集团第三研究院第八三五七研究所 | The detection parameters and defect criterion of a kind of technique latent defect determine method |
CN104750968A (en) * | 2013-12-31 | 2015-07-01 | 中国航天科工集团第三研究院第八三五七研究所 | Method for determining detecting parameters and defect criteria of potential process defects |
CN103927448B (en) * | 2014-04-18 | 2017-02-15 | 南京理工大学 | Determining method of criticality of fault mode of rail transit vehicle component |
CN107491818A (en) * | 2017-08-02 | 2017-12-19 | 中国航空工业集团公司西安飞机设计研究所 | A kind of fast evaluation method of operational aircraft war wound grade |
CN107368693A (en) * | 2017-08-18 | 2017-11-21 | 武汉理工大学 | A kind of industrial equipment health state evaluation method |
CN110210110A (en) * | 2019-05-29 | 2019-09-06 | 陕西柴油机重工有限公司 | A kind of modeling method towards marine diesel fuselage process reliability of technology |
CN110210110B (en) * | 2019-05-29 | 2023-11-21 | 陕西柴油机重工有限公司 | Modeling method for process reliability of marine diesel engine body machining process |
CN117725513A (en) * | 2024-02-07 | 2024-03-19 | 青岛哈尔滨工程大学创新发展中心 | AUV propeller real-time reliability evaluation system and method |
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